Digital Narrative Augmentation: Enhancing Literary Engagement through Interactive E-Texts

Thesis Abstract

The increasing digitalization of literary texts presents both opportunities and challenges for enhancing reader engagement, yet there remains a significant gap in understanding how interactive e-text features can effectively augment narrative comprehension and emotional involvement. This study investigates the potential of digital narrative augmentation to transform traditional literary engagement through the development and evaluation of interactive e-text prototypes. The primary aim is to examine how specific digital features—such as hyperlinks, multimedia elements, and user-driven narratives—impact readers’ interpretive skills, emotional responses, and overall engagement levels. The research objectives include identifying the key interactive features that influence engagement, assessing the usability and accessibility of augmented narratives, and determining the varying effects across different reader demographics. Employing a mixed-methods research design, the study integrates quantitative experimental methods with qualitative user feedback. The quantitative component involves a quasi-experimental setup with a sample of 200 university students enrolled in English and Literary Studies courses, randomly assigned to control and experimental groups. The control group reads traditional printed texts, while the experimental group interacts with specially designed interactive e-texts. Data collection instruments include standardized engagement scales, comprehension questionnaires, and emotional response surveys, supplemented by eye-tracking and clickstream analytics to capture interaction patterns. The qualitative data derive from focus group discussions and semi-structured interviews aimed at exploring user experiences in depth. Data analysis utilizes multiple analytical techniques. Descriptive statistics describe participant demographics and engagement levels, while inferential statistics—such as multivariate regression analysis and ANOVA—test the relationship between interactive features and engagement outcomes. Thematic analysis of qualitative data uncovers recurring patterns regarding user perceptions, navigational preferences, and perceived narrative depth. The study grounds its theoretical framework primarily in the Cognitive Engagement Theory (CET) and the Dual Coding Theory (DCT), which elucidate how multimodal and interactive features facilitate deeper understanding and emotional resonance. Expected findings suggest that computer-mediated narrative augmentation significantly enhances literary engagement, with particular emphasis on multimedia integration, non-linear navigation, and user-controlled narratives fostering higher levels of emotional involvement and interpretive comprehension. Quantitative analysis is anticipated to reveal statistically significant improvements in engagement and comprehension scores among participants exposed to augmented texts compared to traditional reading. Qualitative insights are expected to indicate that interactive features contribute to a more immersive, personalized reading experience, although challenges related to interface usability and accessibility may be identified. This research contributes to knowledge by providing empirical evidence on the efficacy of interactive digital features in literary studies and offering a framework for designing effective augmented narratives. It advances understanding of digital literacy's role in literary engagement and provides practical guidelines for publishers, educators, and digital content creators seeking to innovate in the field of electronic literature. The study concludes that digital narrative augmentation holds substantial promise for redefining literary engagement but requires mindful integration of interactive elements to maximize their educational and aesthetic potential. Based on the findings, recommendations include developing user-centered interactive features, fostering digital literacy skills among diverse readerships, and further exploring personalized narrative experiences through emerging technologies such as virtual reality and AI-driven storytelling. Future research should also investigate long-term effects of digital narrative engagement on literary appreciation and interpretive skills across different cultural contexts.